A legacy of siloed functions in pharma and biotech organizations inhibits innovators from developing and commercializing therapies with speed and efficiency. Manufacturing organizations rarely have access to key insights and information from research and development (R&D), quality, supply chain, sourcing, procurement, and logistics functions and systems. This is particularly true for product and process data stored across enterprise applications. R&D professionals may use Digital Knowledge Management (DKM) systems to manage product and process data, including formulation and packaging information, but often this information is not easily accessible to the manufacturing organization that has to make daily production decisions based on available supply and capacity. Demand forecasting, sales and operations (S&OP) and supply planning functions may use purpose-built solutions and enterprise resource planning (ERP) systems to align demand, supply, capacity, sourcing events and purchase orders, but when they run into supply constraints or demand fluctuation, manufacturing cannot react quickly, preventing them from making proactive decisions on how to best meet production demand.
